BACKGROUND OF THE INVENTION
Field of the Invention
[0001] The present invention relates to an image processing apparatus for correcting colors
output from a printer, an image processing method, and a program for generating image
processing parameters.
Description of the Related Art
[0002] With the improvement in performance of electrophotographic apparatuses in recent
years, a certain electrophotographic apparatus has achieved an image quality equivalent
to the image quality of printing machines. However, such an electrophotographic apparatus
shows a larger color variation amount than printing machines because of the instability
peculiar to the electrophotographic apparatus.
[0003] To solve this problem, conventional electrophotographic apparatuses are provided
with a "single color" calibration technique based on the generation of a lookup table
(LUT) for correcting one-dimensional gradation characteristics corresponding to each
of cyan, magenta, yellow, and black toners (hereinafter referred to as C, M, Y, and
K toners, respectively). A LUT is a table indicating output data corresponding to
input data divided at specific intervals. The LUT enables representing nonlinear characteristics
which cannot be represented by calculation formulas. "Monochrome" refers to a color
represented by using any one of C, M, Y, and K toners. Executing single color calibration
corrects the single color reproduction characteristics, such as the maximum density
and gradation.
[0004] In recent years, Japanese Patent Application Laid-Open No.
2011-254350 discusses a technique for performing "multi color" calibration by using a four-dimensional
LUT. "Multi color" refers to colors represented by using a plurality of toners such
as red, green, blue, and CMY-based gray. Particularly in electrophotography, even
if the gradation characteristics of single colors are corrected by using a one-dimensional
LUT, representing "multi color" by using a plurality of toners causes a nonlinear
difference in many cases. In this case, executing multi color calibration corrects
the color reproduction characteristics of multi color represented by a combination
(for example, superposition) of a plurality of color toners.
[0005] A method of calibration involving "multi color" will be described below. First of
all, to perform "single color" calibration, the method prints out patches on a recording
medium such as paper by using single color chart data, and reads the patches by using
a scanner or sensor. The method compares data acquired by reading the patches with
preset target values, and generates a one-dimensional LUT for correcting differences
of the data from the target values. Subsequently, to perform "multi color" calibration,
the method prints out patches on a recording medium by using multi color chart data
reflecting the generated one-dimensional LUT, and reads the patches by using a scanner
or sensor. The method compares data acquired by reading the patches with preset target
values, and generates a four-dimensional LUT for correcting differences of the data
from the target values.
[0006] As described above, high-precision correction was possible by correcting the multi
color characteristics through "multi color" calibration, which cannot be corrected
only through "single color" calibration.
[0007] However, a prior art uses an "L*a*b* color space" for "multi color" calibration and
therefore is affected by "distortion" included in the "L*a*b* color space" itself.
[0008] Although the "L*a*b* color space" aims to make a correlation with the human visual
characteristics, it tends to be difficult to make a correlation in specific hues.
For example, a color perceived as "purple" by the human eye may be represented as
"blue" in the "L*a*b* color space."
[0009] In "multi color" calibration, the method calculates linear distances of differences
in the "L*a*b* color space" and then performs correction. This processing causes the
following problem. Although correction is completed on a numerical basis, the human
eye perceives that certain colors in a printout have not been sufficiently corrected
because of an influence of "distortion" peculiar to the "L*a*b* color space.
[0010] US2011/0299102 discloses an image processing apparatus which corrects a color shade of a color with
multiple color components.
US2011/0299102 discloses a configuration of forming a color conversion table for correcting a four-dimensional
LUT constructed by CMYK by using a "CMY to Lab" color conversion three-dimensional
LUT and a corrected "Lab to CMY" color conversion three-dimensional LUT.
[0011] US 2013/0141740 discloses a method of correcting a profile in which the profile is converted to a
uniform appearance color space. The profile is then processed in order to improve
hue linearity and gradation uniformity. The profile is then converted back to the
original color space.
SUMMARY OF THE INVENTION
[0012] The invention is defined by the appended claims. According to a first aspect of the
present invention there is provided an image processing apparatus according to claim
1. According to a second aspect of the present invention there is provided an image
processing method according to claim 7.
[0013] According to the present invention, it becomes possible to perform correction adapted
to the human visual characteristics without being affected by "distortion" peculiar
to the "L*a*b* color space" at the time of multi color calibration.
[0014] Further features of the present invention will become apparent from the following
description of exemplary embodiments with reference to the attached drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0015]
Fig. 1 illustrates a system configuration.
Fig. 2 is a flowchart illustrating image processing.
Fig. 3 is a flowchart illustrating single color calibration processing.
Fig. 4 is a flowchart illustrating multi color calibration processing.
Figs. 5A, 5B, and 5C illustrate charts used for single color and multi color calibrations.
Fig. 6 is a flowchart illustrating processing for generating parameters for multi
color calibration according to a first exemplary embodiment.
Fig. 7 is a table illustrating examples of parameters for converting an L*a*b* reference
color space into an L*a*b* "uniform color space" according to the first exemplary
embodiment.
Fig. 8 is a flowchart illustrating multi color calibration processing according to
the first exemplary embodiment.
Fig. 9 illustrates an example of a user interface (UI) for prompting a user to select
a correction mode at the time of multi color calibration according to a second exemplary
embodiment.
Fig. 10 is a flowchart illustrating multi color calibration processing according to
the second exemplary embodiment.
Fig. 11 illustrates an example of a UI for prompting the user to select a correction
mode at the time of multi color calibration according to a third exemplary embodiment.
Fig. 12 is a flowchart illustrating multi color calibration processing according to
the third exemplary embodiment.
Fig. 13 illustrates an example of a UI for prompting a user to select a correction
mode at the time of multi color calibration according to a fourth exemplary embodiment.
Fig. 14 is a flowchart illustrating multi color calibration processing according to
the fourth exemplary embodiment.
Fig. 15 illustrates examples of 4D-LUTs according to the third and the fourth exemplary
embodiments.
DESCRIPTION OF THE EMBODIMENTS
[0016] Various exemplary embodiments, features, and aspects of the invention will be described
in detail below with reference to the drawings.
[0017] A first exemplary embodiment of the present invention will be described below. The
present exemplary embodiment will be described below based on a technique for performing
correction adapted to the human visual characteristics. Specifically, at the time
of multi color calibration, the technique converts an "L*a*b* color space" into a
"uniform color space" creating less "distortion" before performing correction.
[0018] Fig. 1 illustrates a configuration of a system according to the present exemplary
embodiment. A multi function printer (MFP) 101 as an image processing apparatus using
cyan, magenta, yellow, and black toners (hereinafter referred to as C, M, Y, and K
toners, respectively) is connected with other network-based apparatuses via a network
123. A personal computer (PC) 124 is connected with the MFP 101 via the network 123.
A printer driver 125 in the PC 124 transmits print data to the MFP 101.
[0019] The MFP 101 will be described in detail below. A network interface (I/F) 122 receives
print data. A controller 102 includes a central processing unit (CPU) 103, a renderer
112, and an image processing unit 114. An interpreter 104 in the CPU 103 interprets
a page description language (PDL) portion of the received print data to generate intermediate
language data 105.
[0020] A color management system (CMS) 106 performs color conversion by using a source profile
107 and a destination profile 108 to generate intermediate language data (after CMS)
111. The CMS 106 performs color conversion by using profile information (described
below). The source profile 107 is a profile for converting a device-dependent color
space, such as red, green, and blue (RGB), and cyan, magenta, yellow, and black (CMYK),
into a device-independent color space such as L*a*b* (hereinafter referred to as Lab)
defined by the International Commission on Illumination (CIE) and XYZ. XYZ is a device-independent
color space similar to Lab, and expresses colors with three different stimulus values.
The destination profile 108 is a profile for converting a device-independent color
space into a device (printer 115)-dependent CMYK color space.
[0021] On the other hand, a CMS 109 performs color conversion by using a device link profile
110 to generate intermediate language data (after CMS) 111. The device link profile
110 is a profile for directly converting a device-dependent color space such as RGB
and CMYK into a device (printer 115)-dependent CMYK color space. Which CMS (CMS 106
or CMS 109) is selected depends on a setting in the printer driver 125.
[0022] Although, in the present exemplary embodiment, the CMS 106 or the CMS 109 is selected
according to the type of profile (profile 107, 108, or 110), only one CMS may also
handle a plurality of profile types. The types of profiles are not limited to the
ones described in the present exemplary embodiment, and may be any type of profile
as long as a device (printer 155)-dependent CMYK color space is used.
[0023] The renderer 112 generates a raster image 113 based on the generated intermediate
language data (after CMS) 111. The image processing unit 114 performs image processing
on the raster image 113 or an image read by the scanner 119. The image processing
unit 114 will be described in detail below.
[0024] The printer 115 connected with the controller 102 is a printer for forming an image
on paper based on output data by using color toners, such as C, M, Y, and K toners.
The printer 115 includes a paper feed unit 116 for feeding sheets, a sheet discharge
unit 117 for discharging sheets with images formed thereon, and a measurement unit
126 for performing colorimetry.
[0025] The measurement unit 126 includes a sensor 127 for acquiring the spectral reflectance
and values of a device-independent color space such as Lab and XYZ. The measurement
unit 126 is controlled by the CPU 129 for controlling the printer 115. The measurement
unit 126 reads, by using the sensor 127, patches printed out on a recording media
such as a print sheet by the printer 115, and transmits read numerical information
to the controller 102. The controller 102 performs calculation by using the numerical
information, and uses the result of the calculation when performing single color calibration
or multi color calibration.
[0026] A display unit 118 is a user interface (UI) for displaying an instruction to the
user and the status of the MFP 101. The display unit 118 is used when performing single
color calibration or multi color calibration (described below).
[0027] The scanner 119 includes an automatic document feeder. When the scanner 119 irradiates
a stack of document images or one document image with light from a light source (not
illustrated), a document-reflected image is formed on a solid-state image sensor such
as a charge coupled device (CCD) sensor through a lens. Then, the scanner 119 acquires
as image data a read signal of a rasterized image from the solid-state image sensor.
[0028] An input unit 120 is an interface for receiving an input from the user. A part of
the input unit 120 may be configured as a touch panel and integrated with the display
unit 118.
[0029] A storage device 121 stores data processed by the controller 102 and data received
by the controller 102.
[0030] A measuring device 128 is an external measurement device connected to the network
123 or the PC 124. Similar to the measurement unit 126, the measuring device 128 enables
acquiring the spectral reflectance and values of a device-independent color space
such as Lab and XYZ.
[0031] A processing flow performed by the image processing unit 114 will be described below
with reference to Fig. 2. Fig. 2 illustrates an image processing flow performed on
the raster image 113 or an image read by the scanner 119. The processing flow illustrated
in Fig. 2 is performed when an application specific integrated circuit (ASIC) (not
illustrated) in the image processing unit 114 executes the flow.
[0032] In step S201, the image processing unit 114 receives image data. In step S202, the
image processing unit 114 determines whether the received data is scan data received
from the scanner 119 or the raster image 113 transmitted from the printer driver 125.
[0033] When the received data is determined to be not the relevant scan data (NO in step
S202), the image processing unit 114 determines the received data as the raster image
113 bit-map-expanded by the renderer 112. The CMS converts the raster image 113 into
a printer device-dependent CMYK image, i.e., a CMYK image 211.
[0034] When the received data is determined to be the relevant scan data (YES in step S202),
the image processing unit 114 determines the received data as an RGB image 203. Then,
in step S204, the image processing unit 114 performs color conversion processing on
the RGB image 203 to generate a common RGB image 205. The common RGB image 205 is
defined in a device-independent RGB color space, which can be converted into a device-independent
color space such as Lab through calculation.
[0035] Meanwhile, in step S206, the image processing unit 114 performs character determination
processing on the RGB image 203 to generate character determination data 207. In this
case, the image processing unit 114 detects edges of the RGB image 203 to generate
the character determination data 207.
[0036] In step S208, the image processing unit 114 performs filter processing on the common
RGB image 205 by using the character determination data 207. In this case, by using
the character determination data 207, the image processing unit 114 performs different
filter processing between text portions and non-text portions.
[0037] In step S209, the image processing unit 114 performs background color removal processing.
In step S210, the image processing unit 114 performs color conversion processing to
generate the CMYK image 211 with the background color removed.
[0038] In step S212, the image processing unit 114 performs multi color correction processing
by using a 4D-LUT 217. A 4D-LUT refers to a four-dimensional lookup table (LUT) for
converting a combination of C, M, Y, and K signal values in outputting each of C,
M, Y, and K toners, into a combination of different C, M, Y, and K signal values.
The 4D-LUT 217 is generated through "multi color calibration" (described below). The
use of the 4D-LUT enables correcting "multi color" which is generated by using a plurality
of toners.
[0039] After performing multi color correction in step S212, then in step S213, the image
processing unit 114 corrects the gradation characteristics of each of the C, M, Y,
and K single colors by using a 1D-LUT 218. A 1D-LUT refers to a one-dimensional lookup
table (LUT) for correcting each of the C, M, Y, and K single colors. The 1D-LUT 218
is generated through "single color calibration" (described below).
[0040] In step S214, the image processing unit 114 performs half-tone processing such as
screen processing and error diffusion processing to generate a CMYK image (binary)
215. In step S216, the image processing unit 114 transmits resultant image data to
the printer 115.
[0041] "Monochromatic calibration" for correcting the gradation characteristics of the single
colors output from the printer 115 will be described below with reference to Fig.
3. Performing single color calibration enables correcting the color reproduction characteristics
of the single color, such as maximum density characteristics and gradation characteristics.
The color reproduction characteristics corresponding to each of the C, M, Y, and K
single colors used for the printer 115 are corrected together during execution of
calibration. More specifically, the processing illustrated in Fig. 3 is executed at
one time for each of the C, M, Y, and K single colors.
[0042] Fig. 3 is a flowchart illustrating processing for generating the 1D-LUT 218 for correcting
the gradation characteristics of the single colors. The processing flow illustrated
in Fig. 3 is performed when the CPU 103 executes the processing. The generated 1D-LUT
218 is stored in the storage device 121. The display unit 118 displays an instruction
to the user on a UI, and receives a user instruction from the input unit 120.
[0043] In step S301, the CPU 103 acquire chart data (A) 302 stored in the storage device
121. The chart data (A) 302 is used to correct the maximum density for each single
color, and includes signal values (for example, 255) for acquiring the maximum density
data of the C, M, Y, and K "single colors."
[0044] In step S303, the CPU 103 executes image processing on the chart data (A) 302 via
the image processing unit 114, and prints out a chart (A) 304 from the printer 115.
Examples of charts are illustrated in Figs. 5A, 5B, and 5C. A chart 501 illustrated
in Fig. 5A is an example of a printout of the chart data (A) 302. Patches 502, 503,
504, and 505 are printed out with the maximum density for each of the C, M, Y, and
K colors, respectively. In this case, the image processing unit 114 performs only
the half-tone processing in step S214, and performs neither the 1D-LUT correction
processing in step S213 nor the 4D-LUT correction processing in step S212.
[0045] In step S305, the CPU 103 executes density measurement (colorimetry) on a printout
of the chart (A) 304 by using the scanner 119 or the sensor 127 in the measurement
unit 126 to acquire colorimetric values (A) 306. The colorimetric values (A) 306 include
density values of the C, M, Y, and K colors. In step S307, the CPU 103 corrects the
maximum density of the colorimetric values (A) 306 for each color by using the colorimetric
values (A) 306 and preset target values (A) 308 for the maximum density values. In
this case, the CPU 103 adjusts device setting values of the printer 115, such as laser
output and development bias so that the maximum densities come close to the target
values (A) 308.
[0046] In step S309, the CPU 103 acquires chart data (B) 310 stored in the storage device
121. The chart data (B) 310 includes signal values for gradation data of the C, M,
Y, and K "single colors". Figs. 5A, 5B, and 5C illustrate examples of a chart (B)
312 having patches printed out on a recording medium by using the chart data (B) 310.
A chart 506 illustrated in Fig. 5B is an example of the chart (B) 312 having patches
printed out on a recording medium by using the chart data (B) 310. Patches 507, 508,
509, and 510 and gradation data extending to the right illustrated in Fig. 5B include
gradation data for each of the C, M, Y, and K colors.
[0047] In step S311, the CPU 103 executes image processing on the chart data (B) 310 via
the image processing unit 114, and prints out the chart (B) 312 on the printer 115.
In this case, the image processing unit 114 performs only half-tone processing in
step S214, and performs neither the 1D-LUT correction processing in step S213 nor
the 4D-LUT correction processing in step S212. Since the maximum densities are corrected
for the printer 115 in step S307, the maximum densities equivalent to the target values
(A) 308 can be achieved.
[0048] In step S313, the CPU 103 executes colorimetry by using the scanner 119 or the sensor
127 to acquire colorimetric values (B) 314. The colorimetric values (B) 314 are density
values acquired from gradation for each of the C, M, Y, and K colors. In step S315,
the CPU 103 generates the 1D-LUT 218 for correcting gradation of the single colors
by using the colorimetric values (B) 314 and preset target values (B) 316.
[0049] "Multi color calibration" for correcting the characteristics of multi colors output
from the printer 115 will be described below with reference to Fig. 4. Performing
multi color calibration enables correcting the reproduction characteristics of multi
color represented by a combination (superposition) of a plurality of color toners.
The following processing flow is implemented by the CPU 103 in the controller 102
executing the processing. The acquired 4D-LUT 217 is stored in the storage device
121. The display unit 118 displays an instruction to the user on a UI, and receives
a user instruction from the input unit 120.
[0050] Multi color calibration corrects multi colors output from the printer 115 after completion
of single color calibration. Therefore, it is desirable to perform multi color calibration
immediately after completion of single color calibration.
[0051] In step S401, the CPU 103 acquires information about "multi color" chart data (C)
402 stored in the storage device 121. The chart data (C) 402 is data for correcting
multi colors, and includes signal values of "multi color" which is a combination of
the C, M, and Y colors. Figs. 5A, 5B, and 5C illustrate examples of a chart (C) 404
having patches printed out on a recording medium by using the chart data (C) 402.
A chart 511 illustrated in Fig. 5C indicates an example of a printout of the chart
data (C) 402. A patch 512 and all other patches printed out on the chart 511 include
multi colors represented in a three-dimensional color space formed of the C, M, and
Y colors.
[0052] In step S403, the CPU 103 executes image processing on the chart data (C) 402 via
the image processing unit 114, and prints out the chart (C) 404 on the printer 115.
At the time of multi color calibration, to correct the multi color characteristics
of the device after completion of single color calibration, the image processing unit
114 uses the 1D-LUT 218, generated at the time of single color calibration, to perform
image processing.
[0053] In step S405, the CPU 103 executes multi color colorimetry on the printout of the
chart (C) 404 by using the scanner 119 or the sensor 127 in the measurement unit 126
to acquire colorimetric values (C) 406. The colorimetric values (C) 406 indicate the
multi color characteristics of the printer 115 after completion of single color calibration.
The colorimetric values (C) 406 are values in a device-independent color space which
is Lab in the present exemplary embodiment. When the scanner 119 is used, the CPU
103 converts RGB values into Lab values by using a 3D-LUT (not illustrated).
[0054] In step S407, the CPU 103 acquires a Lab-to-CMY 3D-LUT (color conversion table) 409
stored in the storage device 121. Then, the CPU 103 reflects the differences of the
colorimetric values (C) 406 from preset target values (C) 408 to the Lab-to-CMY 3D-LUT
409 to generate a Lab-to-CMY 3D-LUT (after correction) 410. A Lab-to-CMY 3D-LUT refers
to a three-dimensional LUT for outputting CMY values corresponding to input Lab values.
[0055] A specific method for generating a 3D-LUT will be described below. The CPU 103 adds
the differences between the colorimetric values (C) 406 and the preset target values
(C) 408 to Lab values on the input side of the Lab-to-CMY 3D-LUT 409, and executes
interpolation operation on Lab values, to which differences are reflected, by using
the Lab-to-CMY 3D-LUT 409. As a result, the Lab-to-CMY 3D-LUT (after correction) 410
is generated.
[0056] In step S411, the CPU 103 acquires the CMY-to-Lab 3D-LUT (color conversion table)
412 stored in the storage device 121, and executes calculation by using the Lab-to-CMY
3D-LUT (after correction) 410. Thus, the CMYK-to-CMYK 4D-LUT 217 is generated. A CMY-to-Lab
3D-LUT refers to a three-dimensional LUT for outputting Lab values corresponding to
input CMY values.
[0057] A specific method for generating the CMYK-to-CMYK 4D-LUT 217 will be described below.
The CPU 103 generates a CMY-to-CMY 3D-LUT based on the CMY-to-Lab 3D-LUT 412 and the
Lab-to-CMY 3D-LUT (after correction) 410. Then, the CPU 103 generates the CMYK-to-CMYK
4D-LUT 217 so that input values of the K color coincide with output values thereof.
The CMY-to-CMY 3D-LUT refers to a three-dimensional LUT for outputting corrected CMY
values corresponding to input CMY values.
[0058] However, the conventional technique calculates the differences between the colorimetric
values (C) 406 and the target values (C) 408 in the Lab color space. Therefore, because
of the influence of "distortion" included in the "Lab color space" itself, the human
sense may perceive different colors in specific hues.
[0059] For example, even if the differences in the Lab color space are decreased, it may
be determined that blue has not been sufficiently corrected while red is perceived
to have been corrected when the human sense feels the effect of correction. The present
exemplary embodiment proposes a technique for solving the above-described problem.
[0060] Fig. 6 is a flowchart illustrating processing for generating parameters for multi
color calibration according to the present exemplary embodiment. The following processing
flow is implemented by the CPU 103 in the controller 102 executing the processing.
The acquired data is stored in the storage device 121. The display unit 118 displays
an instruction to the user on a UI, and receives a user instruction from the input
unit 120.
[0061] In step S601, the CPU 103 acquires a LUT for uniform color space conversion 602 which
is a uniform color space conversion table stored in the storage device 121. The LUT
for uniform color space conversion 602 provides parameters for color space conversion.
[0062] The "uniform color space" will be described below. The "uniform color space" is a
color space in which "distortion" included in the Lab color space is corrected to
improve the correlativity with the human visual characteristics.
[0063] Parameters for converting a Lab color space into a uniform color space can be generated
by inputting data representing the visual uniformity in each of a plurality of color
areas in the Lab color space. A method for generating a uniform color space is discussed
in detail in Japanese Patent Application Laid-Open No.
2013-021679.
[0064] Fig. 7 illustrates examples of parameters for converting a reference color space
into a "uniform color space." Conversion parameters 701 form a 3D-LUT for converting
a Lab reference color space into a Lab uniform color space (hereinafter referred to
as "E-Lab"). Input Lab values can be converted into E-Lab values corresponding to
a uniform color space by performing interpolation operation using the conversion parameters
701. Changes from Lab values to E-Lab values after conversion are different for each
hue. More specifically, blue having a large distortion in Lab values shows large changes,
and an achromatic color having a small distortion in Lab values shows small changes.
[0065] In step S603, the CPU 103 acquires the target values (C) 408 and the CMY-to-Lab 3D-LUT
412 stored in the storage device 121. These parameters are the same as those used
in the processing flow illustrated in Fig. 4.
[0066] In step S604, by using the LUT for uniform color space conversion 602, the CPU 103
converts the target values (C) 408 and the CMY-to-Lab 3D-LUT 412 into target values
(D) 605 and a CMY-to-E-Lab 3D-LUT 606, respectively.
[0067] Finally, the CPU 103 executes 3D-LUT generation processing in step S607 by using
the CMY-to-E-Lab 3D-LUT 606 to generate an E-Lab-to-CMY 3D-LUT 608. A method for generating
a Lab-to-CMY 3D-LUT is discussed in Japanese Patent Application Laid-Open No.
2011-254350. A Lab-to-CMY 3D-LUT is generated by using a CMY-to-Lab 3D-LUT 412. The Lab-to-CMY
3D-LUT is corrected by using the Lab-to-CMY 3D-LUT, target values, and colorimetric
values of output chart data. Therefore, similar to the Lab-to-CMY 3D-LUT which is
generated by using the CMY-to-Lab 3D-LUT, an E-Lab-to-CMY 3D-LUT is generated by using
the CMY-to-E-Lab 3D-LUT.
[0068] As described above, it becomes possible to generate parameters with corrected "distortion"
in specific hues peculiar to the Lab color space by converting conventional Lab values
into E-Lab values of the uniform color space and then generating parameters.
[0069] Fig. 8 is a flowchart illustrating multi color calibration processing according to
the present exemplary embodiment. The CPU 103 executes multi color calibration processing
by using the parameters generated in Fig. 6. The following processing flow is implemented
by the CPU 103 in the controller 102 executing the processing. The acquired data is
stored in the storage device 121. The display unit 118 displays an instruction to
the user on a UI, and receives a user instruction from the input unit 120.
[0070] The processing flow for acquiring colorimetric values (C) 806 in steps S801 to S805
is similar to the processing flow for acquiring the colorimetric values (C) 406 in
steps S401 to S405 illustrated in Fig. 4, therefore, redundant description thereof
will be omitted.
[0071] In step S807, the CPU 103 acquires the LUT for uniform color space conversion 602
stored in the storage device 121. In step S808, the CPU 103 executes color conversion
on the colorimetric values (C) 806 by using the LUT for uniform color space conversion
602 to acquire colorimetric values (D) 809.
[0072] Finally, in step S810, the CPU 103 executes processing for generating a four-dimensional
LUT for correction by using the colorimetric values (D) 809 and the parameters for
correction 811 to acquire a CMYK-to-CMYK 4D-LUT (uniform color space) 812. The parameters
for correction 811 include the target values (D) 605, the CMY-to-E-Lab 3D-LUT 606,
and the E-Lab-to-CMY 3D-LUT 608 generated in the processing illustrated in Fig. 6.
The processing in step S810 is similar to the processing in steps S407 and S411 illustrated
in Fig. 4, therefore, redundant description thereof will be omitted.
[0073] As described above, unifying both parameters and colorimetric values with E-Lab values
of the uniform color space and then generating a 4D-LUT for multi color correction
enables solving the problem of "distortion" in specific hues which occurs in the conventional
technique.
[0074] Although, in the present exemplary embodiment, a 3D-LUT is used for uniform color
space conversion, other methods such as a matrix may be used for uniform color space
conversion. Further, any type of color space may be used as long as the problem in
the conventional Lab color space can be solved.
[0075] According to the present exemplary embodiment, it becomes possible to perform correction
adapted to the human visual characteristics without being affected by "distortion"
peculiar to the "Lab color space" at the time of multi color calibration.
[0076] The following describes a second exemplary embodiment in which either one of two
different modes is selected at the time of multi color calibration. In one mode, differences
in the conventional Lab color space are prioritized. In the other mode, correction
is performed according to the human visual characteristics without correcting "distortion"
peculiar to the Lab color space.
[0077] In the above-described first exemplary embodiment, conventional Lab values are converted
into E-Lab values of the uniform color space, and multi color calibration is performed
by using parameters pre-generated based on E-Lab values.
[0078] However, evaluating the result output by using a 4D-LUT corrected with E-Lab values
of the uniform color space may increase a color difference (ΔE). The color difference
(ΔE) refers to a difference between two colors, and is calculated by using the following
formula (1).

(L
1, a
1, b
1: Lab values of color 1; L
2, a
2, b
2: Lab values of color 2)
[0079] Although a color which does not conform to the human visual characteristics actually
occurs, the color difference (ΔE) is an evaluation index used in the standards. Depending
on the type of user's printout, whether the color differences (ΔE) satisfy standard
values may be more important than whether colors conform to the human visual characteristics.
Depending on the print purpose, for example, standard values of the color differences
(ΔE) are "about 1.5 or less" and "about 3.0 or less." Therefore, there arises a problem
of an increase in risk that the standard values of the color differences (ΔE) cannot
be satisfied after performing correction with E-Lab values of the uniform color space.
For example, when outputting an RGB image, a monitor is used for reference. In some
case, therefore, performing correction adapted to the human visual characteristics
is more important than performing correction according to the color differences (ΔE).
When outputting a CMYK image, importance is attached to the extent to which a printout
can be brought close to a reference print product. In some case, therefore, determination
is made depending on whether the standard values of the color differences (ΔE) can
be satisfied.
[0080] Further, some users attach importance to performing correction adapted to the human
visual characteristics of a person who prints photograph images. Therefore, taking
the above-described situation into consideration, the present exemplary embodiment
will be described below based on a case where the user is prompted to select whether
to use E-Lab values of the uniform color space before performing multi color calibration
processing.
[0081] Fig. 9 illustrates an example of a UI according to the present exemplary embodiment.
A UI 901 is displayed on the display unit 118 before execution of multi color calibration.
Since the frequency of selection depends on the usage status of the user, the UI 901
does not need to be displayed each time multi color calibration is performed. The
UI 901 may be displayed as an independent menu. When the "COLOR DIFFERENCE (NUMERICAL
VALUE) EMPHASIS" button 902 is selected, a 4D-LUT for multi color correction is generated
by using conventional Lab values when performing multi color calibration. On the other
hand, when the "VISUAL CHARACTERISTICS EMPHASIS" button 903 is selected, a 4D-LUT
for multi color correction is generated by using E-Lab values of the uniform color
space.
[0082] Fig. 10 illustrates a processing flow according to the present exemplary embodiment.
The following processing flow is implemented by the CPU 103 in the controller 102
executing the processing. The acquired data is stored in the storage device 121. The
display unit 118 displays an instruction to the user on a UI, and receives a user
instruction from the input unit 120.
[0083] The processing flow for acquiring colorimetric values (C) 1006 in steps S1001 to
S1005 is similar to the processing flow for acquiring the colorimetric values (C)
406 in steps S401 to S405 illustrated in Fig. 4, therefore, redundant description
thereof will be omitted.
[0084] In step S1007, the CPU 103 determines whether the "VISUAL CHARACTERISTICS EMPHASIS"
mode is selected. More specifically, when the "VISUAL CHARACTERISTICS EMPHASIS" button
903 is selected in the UI 901, the CPU 103 determines that the "VISUAL CHARACTERISTICS
EMPHASIS" mode is selected. When the "COLOR DIFFERENCE (NUMERICAL VALUE) EMPHASIS"
button 902 is selected, the CPU 103 determines that the "VISUAL CHARACTERISTICS EMPHASIS"
mode is not selected.
[0085] When it is determined that the "VISUAL CHARACTERISTICS EMPHASIS" mode is selected
(YES in step S1007), then in steps S1008 to S1011, the CPU 103 executes processing
by using the LUT for uniform color space conversion 602 to calculate a CMYK-to-CMYK
4D-LUT (uniform color space) 1013.
[0086] The processing flow in steps S1008 to S1011 is similar to the processing flow in
steps S807 to S810 illustrated in Fig. 8, therefore, description thereof will be omitted.
[0087] When the "VISUAL CHARACTERISTICS EMPHASIS" mode is determined to be not selected
(NO in step S1007), then in step S1014, the CPU 103 generates a CMYK-to-CMYK 4D-LUT
1016 by using the colorimetric values (C) 1006 and parameters for correction (Lab)
1015. The parameters for correction (Lab) 1015 include the target values (C) 408,
the CMY-to-Lab 3D-LUT 412, and the Lab-to-CMY 3D-LUT 409 generated in processing illustrated
in Fig. 4. The processing in step S1014 is similar to the processing in steps S407
and S411 illustrated in Fig. 4, therefore, redundant description thereof will be omitted.
[0088] Although, in the present exemplary embodiment, the user selects whether multi color
calibration is to be performed based on Lab values or E-Lab values by using buttons
of a UI, a 4D-LUT for multi color correction may be generated for each of Lab values
and E-Lab values without mode selection via the UI. In this case, the 4D-LUT for correction
may be automatically selected depending on image data. For example, a 4D-LUT generated
with Lab values is used when an RGB image is input, and a 4D-LUT generated with E-Lab
values is used when a CMYK image is input.
[0089] According to the present exemplary embodiment, it becomes possible to perform correction
adapted to the human visual characteristics without being affected by "distortion"
peculiar to the "Lab color space" at the time of multi color calibration.
[0090] Further, according to the present exemplary embodiment, it becomes possible to select
a color space to be corrected according to a user request by prompting the user to
select a color space to be used for multi color calibration.
[0091] The following describes a third exemplary embodiment in which correction parameters
are generated keeping a balance between the conventional Lab color space and the E-Lab
color space (uniform color space) at the time of multi color calibration.
[0092] In the above-described exemplary embodiments, a color space to be used at the time
of multi color calibration is selected by prompting the user to select "COLOR DIFFERENCE
(NUMERICAL VALUE) EMPHASIS" or "VISUAL CHARACTERISTICS EMPHASIS" from a UI.
[0093] However, there is a case where a user wants to acquire a printout also in consideration
of the visual characteristics while restricting the color differences (ΔE). For example,
when outputting data including RGB and CMYK data, the visual characteristics become
important for the RGB data portion, and the color differences (ΔE) become important
for the CMYK data portion.
[0094] Therefore, taking the above-described situation into consideration, in the present
exemplary embodiment, a case will be described below where multi color calibration
processing is performed in consideration of both conventional Lab values and E-Lab
values of the uniform color space.
[0095] Fig. 11 illustrates an example of a UI according to the present exemplary embodiment.
A UI 1101 is displayed on the display unit 118 before execution of multi color calibration.
Since the frequency of selection depends on the usage status of the user, the UI 1101
does not need to be displayed each time multi color calibration is performed, but
the UI 1101 may be displayed as an independent menu. The "COLOR DIFFERENCE (NUMERICAL
VALUE) EMPHASIS" button 1102 and the "VISUAL CHARACTERISTICS EMPHASIS" button 1104
are similar to the "COLOR DIFFERENCE (NUMERICAL VALUE) EMPHASIS" button 902 and the
"VISUAL CHARACTERISTICS EMPHASIS" button 903 illustrated in Fig. 9, respectively,
therefore, redundant descriptions thereof will be omitted.
[0096] When the "BALANCE EMPHASIS" button 1103 is selected, the CPU 103 generates a 4D-LUT
for multi color correction by using conventional Lab values and E-Lab values of the
uniform color space.
[0097] Fig. 12 illustrates a processing flow according to the present exemplary embodiment.
The following processing flow is implemented by the CPU 103 in the controller 102
executing the processing. The acquired data is stored in the storage device 121. The
display unit 118 displays an instruction to the user on a UI, and receives a user
instruction from the input unit 120.
[0098] The processing flow illustrated in Fig. 12 indicates a processing flow when the "BALANCE
EMPHASIS" button 1103 is selected in the UI 1101. The processing flow when the "COLOR
DIFFERENCE (NUMERICAL VALUE) EMPHASIS" button 1102 and the "VISUAL CHARACTERISTICS
EMPHASIS" button 1104 are selected is similar to the processing flow illustrated in
Fig. 10, therefore, redundant description thereof will be omitted.
[0099] The processing flow for acquiring colorimetric values (C) 1206 in steps S1201 to
S1205 is similar to the processing flow for acquiring the colorimetric values (C)
406 in steps S401 to S405 illustrated in Fig. 4, therefore, redundant description
thereof will be omitted.
[0100] The processing flow for acquiring a CMYK-to-CMYK 4D-LUT (uniform color space) 1212
in steps S1207 to S1210 is similar to the processing flow in steps S1008 to S1011
illustrated in Fig. 10, therefore, description thereof will be omitted.
[0101] The processing flow for acquiring a CMYK-to-CMYK 4D-LUT (Lab color space) 1215 in
step S1213 is similar to the processing flow in step S1014 illustrated in Fig. 10,
therefore, description thereof will be omitted.
[0102] In step S1216, the CPU 103 combines CMYK values of the CMYK-to-CMYK 4D-LUT (uniform
color space) 1212 with CMYK values of the CMYK-to-CMYK 4D-LUT (Lab color space) 1215
to generate a CMYK-to-CMYK 4D-LUT (combination) 1217.
[0103] A method of combination will be described below with reference to Fig. 15. Table
1501 illustrates the CMYK-to-CMYK 4D-LUT (uniform color space) 1212 describing CMYK
output values corresponding to certain CMYK input values for each color. Referring
to Table 1501, although all of output values are XXX, different output values are
actually described according to input values in most cases. Similarly, Table 1502
illustrates the CMYK-to-CMYK 4D-LUT (Lab color space) 1215 describing output values
YYY. Similarly, Table 1503 illustrates the CMYK-to-CMYK 4D-LUT (combination) 1217
describing output values ZZZ.
[0104] The output values ZZZ are determined for each of the C, M, Y, and K colors by using
the following formula (2) .

[0105] The formula (2) uses averages of the output values of the CMYK-to-CMYK 4D-LUT (uniform
color space) 1212 and the CMYK-to-CMYK 4D-LUT (Lab color space) 1215 as CMYK values
of the CMYK-to-CMYK 4D-LUT (combination) 1217.
[0106] More specifically, CMYK values are acquired by combining correction coefficients
used when generating respective CMYK-to-CMYK 4D-LUTs.
[0107] Although, in the present exemplary embodiment, processing when "BALANCE EMPHASIS"
is selected on the UI is performed, the CMYK-to-CMYK 4D-LUT (combination) 1217 may
be generated without making a selection via the UI.
[0108] According to the present exemplary embodiment, it becomes possible to perform correction
adapted to the human visual characteristics without being affected by "distortion"
peculiar to the "Lab color space" at the time of multi color calibration.
[0109] Further, according to the present exemplary embodiment, it becomes possible to change
the color space to be corrected according to a user request by prompting the user
to select a color space to be used at the time of multi color calibration.
[0110] Further, according to the present exemplary embodiment, it becomes possible to perform
correction in consideration of the balance between the Lab color space and the uniform
color space by generating a new 4D-LUT based on 4D-LUTs generated in the conventional
Lab color space and the uniform color space at the time of multi color calibration.
[0111] The following describes a fourth exemplary embodiment in which the level of the balance
is changed according to a user request when generating correction parameters keeping
a balance between the conventional Lab color space and the E-Lab color space (uniform
color space) at the time of multi color calibration.
[0112] In the above-described exemplary embodiments, correction parameters are generated
keeping a balance between the conventional Lab color space and the E-Lab color space
(uniform color space).
[0113] However, there is a case where, depending on a user request, correction parameters
attaching importance to the visual characteristics or correction parameters attaching
importance to the color differences (ΔE) are required. For example, when RGB images
are more often output than CMYK images, parameters attaching importance to the visual
characteristics which is likely to affect an RGB image are required.
[0114] Therefore, taking the above-described situation into consideration, an exemplary
embodiment will be described below in a case where multi color calibration processing
is performed keeping a balance between conventional Lab values and E-Lab values of
the uniform color space.
[0115] Fig. 13 illustrates an example of a UI according to the present exemplary embodiment.
A UI 1301 is displayed on the display unit 118 before execution of multi color calibration.
Since the frequency of selection depends on the usage status of the user, the UI 1301
does not need to be displayed each time multi color calibration is performed. Therefore,
the UI 1301 may be displayed as an independent menu. The UI 1301 is a menu related
to the "BALANCE EMPHASIS" button 1103 of the UI 1101 illustrated in Fig. 11. A UI
for selection 1302 is used to select a level of importance attached to color difference
emphasis and visual characteristics emphasis when "BALANCE EMPHASIS" is selected.
When a selection button 1303 is moved toward the side of "VISUAL CHARACTERISTICS EMPHASIS,"
importance is attached to the result of correction using E-Lab values of the uniform
color space in a case where calibration processing is performed placing emphasis on
balance. On the other hand, when the selection button 1303 is moved toward the side
of "COLOR DIFFERENCE EMPHASIS," importance is attached to the result of correction
with conventional Lab values in a case where calibration processing is performed placing
emphasis on balance. When the importance level is set and an OK button 1304 is selected,
the processing to be performed at the time of calibration placing emphasis on balance
is determined.
[0116] Fig. 14 illustrates a processing flow according to the present exemplary embodiment.
The following processing flow is implemented by the CPU 103 in the controller 102
executing the processing. The acquired data is stored in the storage device 121. The
display unit 118 displays an instruction to the user on a UI, and receives a user
instruction from the input unit 120.
[0117] The processing flow illustrated in Fig. 12 indicates a processing flow when the "BALANCE
EMPHASIS" button 1103 is selected in the UI 1101.
[0118] Since the processing flow in steps S1401 to S1413 is similar to the processing flow
in steps S1201 to S1213 illustrated in Fig. 12, description thereof will be omitted.
[0119] In step S1416, the CPU 103 combines CMYK values of a 4D-LUT (uniform color space)
1412 with CMYK values of a 4D-LUT (Lab color space) 1415 by using a 4D-LUT combination
ratio 1418 to generate a CMYK-to-CMYK 4D-LUT (combination by ratio) 1417.
[0120] Similar to the third exemplary embodiment, a specific method of combination will
be described below with reference to Fig. 15. Table 1501 indicates the CMYK-to-CMYK
4D-LUT (uniform color space) 1412, describing CMYK output values corresponding to
certain CMYK input values for each color. Referring to Table 1501, although all of
output values are XXX, different output values are actually described according to
input values, in most cases. Similarly, Table 1502 indicates the CMYK-to-CMYK 4D-LUT
(Lab color space) 1415 describing output values YYY. Similarly, Table 1503 indicates
the CMYK-to-CMYK 4D-LUT (combination by ratio) 1417 describing output values ZZZ.
[0121] The output values ZZZ are determined for each of the C, M, Y, and K colors by using
the following formula (3) .

(α: Weighting coefficient for visual characteristics emphasis, β: Weighting coefficient
for color difference emphasis)
[0122] The formula (3) uses weighted averages of the output values of the CMYK-to-CMYK 4D-LUT
(uniform color space) 1412 and the CMYK-to-CMYK 4D-LUT (Lab color space) 1415 as CMYK
values of the CMYK-to-CMYK 4D-LUT (combination by ratio) 1417. The values of weighting
coefficients α and β change with the importance level selected in the UI 1301. When
the selection button 1303 is moved toward the side of "VISUAL CHARACTERISTICS EMPHASIS,"
the weighting coefficient α increases. On the other hand, when the selection button
1303 is moved toward the side of "COLOR DIFFERENCE EMPHASIS," the weighting coefficient
β increases.
[0123] Although, in the present exemplary embodiment, the weighting coefficients α and β
are determined by prompting the user to select the importance level, the processing
is not limited thereto. For example, it is also possible to generate correction parameters
which prioritize either "VISUAL CHARACTERISTICS EMPHASIS" or "COLOR DIFFERENCE EMPHASIS"
by differentiating weight between α and β in the default state.
[0124] According to the present exemplary embodiment, it becomes possible to perform correction
adapted to the human visual characteristics without being affected by "distortion"
peculiar to the "Lab color space" at the time of multi color calibration.
[0125] Further, according to the present exemplary embodiment, it becomes possible to change
the color space to be corrected according to a user request by prompting the user
to select a color space to be used at the time of multi color calibration.
[0126] Further, according to the present exemplary embodiment, it becomes possible to perform
correction according to a user request by generating a new 4D-LUT based on a determined
weight for prioritizing either the conventional Lab color space or the uniform color
space at the time of multi color calibration.
Other Embodiments
[0127] The present exemplary embodiment is achieved also by performing the following processing.
Specifically, software (program) implementing the functions of the above-described
exemplary embodiments is supplied to the system or apparatus via a network or various
storage media, and a computer (or CPU or micro processing unit (MPU)) of the system
or apparatus reads and executes the program.
[0128] Embodiments of the present invention can also be realized by a computer of a system
or apparatus that reads out and executes computer executable instructions recorded
on a storage medium (e.g., non-transitory computer-readable storage medium) to perform
the functions of one or more of the above-described embodiment(s) of the present invention,
and by a method performed by the computer of the system or apparatus by, for example,
reading out and executing the computer executable instructions from the storage medium
to perform the functions of one or more of the above-described embodiment (s). The
computer may comprise one or more of a central processing unit (CPU), micro processing
unit (MPU), or other circuitry, and may include a network of separate computers or
separate computer processors. The computer executable instructions may be provided
to the computer, for example, from a network or the storage medium. The storage medium
may include, for example, one or more of a hard disk, a random-access memory (RAM),
a read only memory (ROM), a storage of distributed computing systems, an optical disk
(such as a compact disc (CD), digital versatile disc (DVD), or Blu-ray Disc (BD)™),
a flash memory device, a memory card, and the like.
[0129] While the present invention has been described with reference to exemplary embodiments,
it is to be understood that the invention is not limited to the disclosed exemplary
embodiments. The scope of the following claims is to be accorded the broadest interpretation
so as to encompass all such modifications.
1. An image processing apparatus comprising:
a first color conversion table (602) adapted to convert a device-independent color
space into a uniform color space, the uniform color space being a color space in which
Lab color space is corrected to improve correlativity with human visual characteristics;
an output means configured to output (S803) a chart (804) to a printer by using a
plurality of types of multi-color chart data represented in a three-dimensional color
space formed of cyan, magenta, and yellow;
a colorimetric value acquisition means configured to acquire (S805) colorimetric values
(806) resulting from colorimetry performed on the output chart (804) in the device-independent
color space;
a color conversion table acquisition means configured to acquire a second color conversion
table (606) adapted to convert the three-dimensional color space into the uniform
color space;
a conversion means configured to convert the acquired colorimetric values (806) of
the device-independent color space into acquired colorimetric values (809) of the
uniform color space by using the first color conversion table (602) which is adapted
to convert the device-independent color space into the uniform color space (602) ;
a target value acquisition means configured to acquire predetermined target values
(605) of the uniform color space;
a correction means configured to correct (S810) a pre-stored third color conversion
table (608), which third color conversion table is adapted to convert the uniform
color space into the three-dimensional color space, by using differences (811) between
the acquired colorimetric values (809) of the uniform color space and the acquired
target values (605) of the uniform color space;
a generation means configured to generate, using the second color conversion table
(606) and the corrected third color conversion table (608), a fourth color conversion
table (812, 1013, 1212) adapted for use in multicolor correction processing (S212)
by correcting a four-dimensional color space formed of cyan, magenta, yellow, and
black; and
multicolor correction processing means configured to perform multicolor correction
processing (S212) based on the fourth color conversion table (812, 1013, 1212) to
convert a combination of cyan, magenta, yellow and black signal values corresponding
to respective toner values of an image to output cyan, magenta, yellow and black signal
values.
2. An image processing apparatus according to claim 1, wherein the second color conversion
table (606) is acquired by converting (S604) values of the device-independent color
space in a fifth color conversion table (412), which fifth color conversion table
(412) is for converting the three-dimensional color space into the device-independent
color space, into values of the uniform color space.
3. An image processing apparatus according to claim 1, wherein the third color conversion
table (608) is acquired by converting (S607) values of the device-independent color
space in a sixth color conversion table for converting the device-independent color
space into the three-dimensional color space, into values of the uniform color space.
4. An image processing apparatus according to claim 2, further comprising:
an instruction means (901) configured to receive an instruction on whether to generate
the fourth color conversion table (1013) for correcting the four-dimensional color
space generated by the generation means by using colors of the uniform color space
or to generate a seventh color correction table (1016) for correcting the four-dimensional
color space by using colors of the device-independent color space;
wherein, when the instruction means receives an instruction to generate the seventh
color conversion table (1016) for correcting the four-dimensional color space by using
colors of the device-independent color space, the generation means generates the seventh
color conversion table (1016) for correcting the four-dimensional color space by using
the colorimetric values (1006) of the device-independent color space, the fifth color
conversion table (412) for converting the three-dimensional color space into the device-independent
color space, and an eighth color conversion table (409) for converting the device-independent
color space into the three-dimensional color space.
5. An image processing apparatus according to claim 2, wherein the generation means is
further configured to:
generate a seventh color conversion table (1215) for correcting the four-dimensional
color space by using colors of the device-independent color space, the generation
means generating the seventh color conversion table (1215) for correcting the four-dimensional
color space by using the colorimetric values (1206) of the device-independent color
space, the fifth color conversion table (412) for converting the three-dimensional
color space into the device-independent color space, and an eighth color conversion
table (1214) for converting the device-independent color space into the three-dimensional
color space; and
generate a composite color conversion table (1217) for correcting the four-dimensional
color space by using a value acquired by combining a first correction coefficient
from the fourth color conversion table (1212) with a second correction coefficient
from the seventh color conversion table (1215); and wherein the multicolor correction
processing means being configured to perform the multicolor correction processing
based on the fourth color conversion table comprises the multicolor correction processing
means being configured to use the composite color conversion table.
6. An image processing apparatus according to claim 5, wherein, when the generation means
is configured to generate the composite color conversion table for correcting a four-dimensional
color space by using the value acquired by combining the first correction coefficient
with the second correction coefficient, a method for combining the first correction
coefficient with the second correction coefficient is determined according to a specified
weight.
7. An image processing method that uses a first color conversion table (602) configured
to convert a device-independent color space into a uniform color space, the uniform
color space being a color space in which Lab color space is corrected to improve correlativity
with human visual characteristics, the method comprising:
outputting (S803) a chart (804) to a printer by using a plurality of types of multi
color chart data represented in a three-dimensional color space formed of cyan, magenta,
and yellow;
acquiring (S805) colorimetric values (806) resulting from colorimetry performed on
the output chart (804) in the device-independent color space;
acquiring a second color conversion table (606) for converting the three-dimensional
color space into the uniform color space;
converting the acquired colorimetric values (806) of the device-independent color
space into acquired colorimetric values (809) of the uniform color space by using
the first color conversion table (602) which is adapted to convert the device-independent
color space into the uniform color space (602);
acquiring predetermined target values (605) of the uniform color space;
correcting (S810) a pre-stored third color conversion table (608), which third color
conversion table is adapted to convert the uniform color space into the three-dimensional
color space, by using differences (811) between the acquired colorimetric values (809)
of the uniform color space and the acquired target values (605) of the uniform color
space ;
generating, using the second color conversion table (606) and the corrected third
color conversion table (608), a fourth color conversion table (812, 1212) adapted
for use in multicolor correction processing (S212) by correcting a four-dimensional
color space formed of cyan, magenta, yellow, and black; and
performing multicolor correction processing (S212) based on the fourth color conversion
table (812, 1212) to convert a combination of cyan, magenta, yellow and black signal
values corresponding to respective toner values of an image to output cyan, magenta,
yellow and black signal values.
8. An image processing method according to claim 7, wherein the second color conversion
table (606) is acquired by converting (S604) values of the device-independent color
space in a fifth color conversion table (412), which fifth color conversion table
(412) is for converting the three-dimensional color space into the device-independent
color space, into values of the uniform color space.
9. An image processing method according to claim 7, wherein the third color conversion
table (608) is acquired by converting (S607) values of the device-independent color
space in a sixth color conversion table for converting the device-independent color
space into the three-dimensional color space, into values of the uniform color space.
10. An image processing method according to claim 8, wherein the generating step further
comprises:
generating a seventh color conversion table (1215) for correcting the four-dimensional
color space by using colors of the device-independent color space, the generation
step generating the seventh color conversion table (1215) for correcting the four-dimensional
color space by using the colorimetric values (1206) of the device-independent color
space, the fifth color conversion table (412) for converting the three-dimensional
color space into the device-independent color space, and an eighth color conversion
table (409) for converting the device-independent color space into the three-dimensional
color space; and
generating a composite color conversion table (1217) for correcting the four-dimensional
color space by using a value acquired by combining a first correction coefficient
from the fourth color conversion table (1212) with a second correction coefficient
from the seventh color conversion table (1215); and wherein performing multicolor
correction processing based on the fourth color conversion table comprises using the
composite color conversion table.
11. An image processing method according to claim 10, wherein, when the composite color
conversion table for correcting the four-dimensional color space is generated by using
the value acquired by combining the first correction coefficient with the second correction
coefficient, a method for combining the first correction coefficient with the second
correction coefficient is determined according to a specified weight.
12. A program that, when executed by a computer, causes the computer to execute the method
according to one of claims 7 to 11.
13. A computer-readable medium storing a program according to claim 12.
1. Bildverarbeitungsvorrichtung, umfassend:
eine erste Farbumwandlungstabelle (602), die ausgebildet ist zum Umwandeln eines Device-unabhängigen
Farbraums in einen gleichmäßigen Farbraum, wobei der gleichmäßige Farbraum ein Farbraum
ist, in dem Lab-Farbraum korrigiert ist, um Korrelation mit menschlichen visuellen
Eigenschaften zu verbessern;
eine Ausgabeeinrichtung, die konfiguriert ist zum Ausgeben (S803) eines Diagramms
(804) an einen Drucker durch Verwenden mehrerer Arten von Mehrfarb-Diagrammdaten,
die in einem aus Cyan, Magenta und Gelb erzeugten dreidimensionalen Farbraum dargestellt
werden;
eine Erfassungseinrichtung für kolorimetrische Werte, die konfiguriert ist zum Erfassen
(S805) kolorimetrischer Werte (806), die durch am ausgegebenen Diagramm (804) im Device-unabhängigen
Farbraum durchgeführte Kolorimetrie resultieren;
eine Farbumwandlungstabellenerfassungseinrichtung, die konfiguriert ist zum Erfassen
einer zweiten Farbumwandlungstabelle (606), die ausgebildet ist zum Umwandeln des
dreidimensionalen Farbraums in den gleichmäßigen Farbraum;
eine Umwandlungseinrichtung, die konfiguriert ist zum Umwandeln der erfassten kolorimetrischen
Werte (806) des Device-unabhängigen Farbraums in erfasste kolorimetrische Werte (809)
des gleichmäßigen Farbraums durch Verwenden der ersten Farbumwandlungstabelle (602),
die ausgebildet ist zum Umwandeln des Device-unabhängigen Farbraums in den gleichmäßigen
Farbraum (602);
eine Zielwerterfassungseinrichtung, die konfiguriert ist zum Erfassen von vorbestimmten
Zielwerten (605) des gleichmäßigen Farbraums;
eine Korrektureinrichtung, die konfiguriert ist zum Korrigieren (S810) einer vorgespeicherten
dritten Farbumwandlungstabelle (608), wobei die dritte Farbumwandlungstabelle ausgebildet
ist zum Umwandeln des gleichmäßigen Farbraums in den dreidimensionalen Farbraum durch
Verwenden von Differenzen (811) zwischen den erfassten kolorimetrischen Werten (809)
des gleichmäßigen Farbraums und den erfassten Zielwerten (605) des gleichmäßigen Farbraums;
eine Erzeugungseinrichtung, die konfiguriert ist zum Erzeugen, unter Verwendung der
zweiten Farbumwandlungstabelle (606) und der korrigierten dritten Farbumwandlungstabelle
(608), einer vierten Farbumwandlungstabelle (812, 1013, 1212), die ausgebildet ist
zur Verwendung bei einer Mehrfarben-Korrekturverarbeitung (S212) durch Korrigieren
eines durch Cyan, Magenta, Gelb und Schwarz erzeugten vierdimensionalen Farbraums;
und
eine Mehrfarben-Korrekturverarbeitungseinrichtung, die konfiguriert ist zum Durchführen
einer Mehrfarben-Korrekturverarbeitung (S212) basierend auf der vierten Farbumwandlungstabelle
(812, 1013, 1212), um eine Kombination aus Cyan-, Magenta-, Gelb- und Schwarzsignalwerten,
die jeweiligen Tonerwerten eines Bildes entsprechen, umzuwandeln, um Cyan-, Magenta-,
Gelb- und Schwarzsignalwerte auszugeben.
2. Bildverarbeitungsvorrichtung nach Anspruch 1, wobei die zweite Farbumwandlungstabelle
(606) erfasst wird durch Umwandeln (S604) von Werten des Device-unabhängigen Farbraums
in einer fünften Farbumwandlungstabelle (412), wobei die fünfte Farbumwandlungstabelle
(412) zum Umwandeln des dreidimensionalen Farbraums in den Device-unabhängigen Farbraum
dient, in Werte des gleichmäßigen Farbraums.
3. Bildverarbeitungsvorrichtung nach Anspruch 1, wobei die dritte Farbumwandlungstabelle
(608) erfasst wird durch Umwandeln (S607) von Werten des Device-unabhängigen Farbraums
in einer sechsten Farbumwandlungstabelle, die zum Umwandeln des Device-unabhängigen
Farbraums in den dreidimensionalen Farbraum dient, in Werte des gleichmäßigen Farbraums.
4. Bildverarbeitungsvorrichtung nach Anspruch 2, ferner umfassend:
eine Anweisungseinrichtung (901), die konfiguriert ist zum Empfangen einer Anweisung
dahingehend, ob die vierte Farbumwandlungstabelle (1013) zum Korrigieren des vierdimensionalen
Farbraums, der durch die Erzeugungseinrichtung durch Verwenden von Farben des gleichmäßigen
Farbraums erzeugt wurde, erzeugt werden soll, oder ob eine siebte Farbkorrekturtabelle
(1016) zum Korrigieren des vierdimensionalen Farbraums durch Verwenden von Farben
des Device-unabhängigen Farbraums erzeugt werden soll,
wobei, wenn die Anweisungseinrichtung eine Anweisung empfängt zum Erzeugen der siebten
Farbumwandlungstabelle (1016) zum Korrigieren des vierdimensionalen Farbraums durch
Verwenden von Farben des Device-unabhängigen Farbraums, die Erzeugungseinrichtung
die siebte Farbumwandlungstabelle (1016) zum Korrigieren des vierdimensionalen Farbraums
durch Verwenden der kolorimetrischen Werte (1006) des Device-unabhängigen Farbraums
erzeugt, die fünfte Farbumwandlungstabelle (412) zum Umwandeln des dreidimensionalen
Farbraums in den Device-unabhängigen Farbraum erzeugt, und eine achte Farbumwandlungstabelle
(409) zum Umwandeln des Device-unabhängigen Farbraums in den dreidimensionalen Farbraum
erzeugt.
5. Bildverarbeitungsvorrichtung nach Anspruch 2, wobei die Erzeugungseinrichtung ferner
konfiguriert ist zum:
Erzeugen einer siebten Farbumwandlungstabelle (1215) zum Korrigieren des vierdimensionalen
Farbraums durch Verwenden von Farben des Device-unabhängigen Farbraums, wobei die
Erzeugungseinrichtung die siebte Farbumwandlungstabelle (1215) erzeugt zum Korrigieren
des vierdimensionalen Farbraums unter Verwendung der kolorimetrischen Werte (1206)
des Device-unabhängigen Farbraums, die fünfte Farbumwandlungstabelle (412) erzeugt
zum Umwandeln des dreidimensionalen Farbraums in den Device-unabhängigen Farbraum
und eine achte Farbumwandlungstabelle (1214) erzeugt zum Umwandeln des Device-unabhängigen
Farbraums in den dreidimensionalen Farbraum; und
Erzeugen einer zusammengesetzten Farbumwandlungstabelle (1217) zum Korrigieren des
vierdimensionalen Farbraums unter Verwendung eines Wertes, der erfasst wird durch
Kombinieren eines ersten Korrekturkoeffizienten aus der vierten Farbumwandlungstabelle
(1212) mit einem zweiten Korrekturkoeffizienten aus der siebten Farbumwandlungstabelle
(1215); und wobei die Mehrfarben-Korrekturverarbeitungseinrichtung, die konfiguriert
ist zum Durchführen der Mehrfarben-Korrekturverarbeitung basierend auf der vierten
Farbumwandlungstabelle die Mehrfarben-Korrekturverarbeitungseinrichtung umfasst, die
konfiguriert ist zum Verwenden der zusammengesetzten Farbumwandlungstabelle.
6. Bildverarbeitungsvorrichtung nach Anspruch 5, wobei, wenn die Erzeugungseinrichtung
konfiguriert ist zum Erzeugen der zusammengesetzten Farbumwandlungstabelle für die
Korrektur eines vierdimensionalen Farbraums unter Verwendung des Wertes, der durch
Kombinieren des ersten Korrekturkoeffizienten mit dem zweiten Korrekturkoeffizienten
erfasst wird, ein Verfahren zum Kombinieren des ersten Korrekturkoeffizienten mit
dem zweiten Korrekturkoeffizienten gemäß einer spezifizierten Gewichtung bestimmt
wird.
7. Bildverarbeitungsverfahren, das eine erste Farbumwandlungstabelle (602) verwendet,
die konfiguriert ist zum Umwandeln eines Device-unabhängigen Farbraums in einen gleichmäßigen
Farbraum, wobei der gleichmäßige Farbraum ein Farbraum ist, in dem Lab-Farbraum korrigiert
wird, um Korrelation mit menschlichen visuellen Eigenschaften zu verbessern; wobei
das Verfahren umfasst:
Ausgeben (S803) eines Diagramms (804) an einen Drucker durch Verwenden mehrerer Arten
von Mehrfarben-Diagrammdaten, die in einem aus Cyan, Magenta und Gelb erzeugten dreidimensionalen
Farbraum dargestellt werden;
Erfassen (S805) kolorimetrischer Werte (806), die durch am ausgegebenen Diagramm (804)
im Device-unabhängigen Farbraum durchgeführte Kolorimetrie resultieren;
Erfassen einer zweiten Farbumwandlungstabelle (606) zum Umwandeln des dreidimensionalen
Farbraums in den gleichmäßigen Farbraum;
Umwandeln der erfassten kolorimetrischen Werte (806) des Device-unabhängigen Farbraums
in erfasste kolorimetrische Werte (809) des gleichmäßigen Farbraums durch Verwenden
der ersten Farbumwandlungstabelle (602), die ausgebildet ist zum Umwandeln des Device-unabhängigen
Farbraums in den gleichmäßigen Farbraum (602);
Erfassen von vorbestimmten Zielwerten (605) des gleichmäßigen Farbraums;
Korrigieren (S810) einer vorgespeicherten dritten Farbumwandlungstabelle (608), wobei
die dritte Farbumwandlungstabelle ausgebildet ist zum Umwandeln des gleichmäßigen
Farbraums in den dreidimensionalen Farbraum durch Verwenden von Differenzen (811)
zwischen den erfassten kolorimetrischen Werten (809) des gleichmäßigen Farbraums und
den erfassten Zielwerten (605) des gleichmäßigen Farbraums;
Erzeugen, unter Verwendung der zweiten Farbumwandlungstabelle (606) und der korrigierten
dritten Farbumwandlungstabelle (608), einer vierten Farbumwandlungstabelle (812, 1212),
die ausgebildet ist zur Verwendung bei einer Mehrfarb-Korrekturverarbeitung (S212)
durch Korrigieren eines durch Cyan, Magenta, Gelb und Schwarz erzeugten vierdimensionalen
Farbraums; und
Durchführen einer Mehrfarben-Korrekturverarbeitung (S212) basierend auf der vierten
Farbumwandlungstabelle (812, 1212), um eine Kombination aus Cyan-, Magenta-, Gelb-
und Schwarzsignalwerten, die jeweiligen Tonerwerten eines Bildes entsprechen, umzuwandeln,
um Cyan-, Magenta-, Gelb- und Schwarzsignalwerte auszugeben.
8. Bildverarbeitungsverfahren nach Anspruch 7, wobei die zweite Farbumwandlungstabelle
(606) erfasst wird durch Umwandeln (S604) von Werten des Device-unabhängigen Farbraums
in einer fünften Farbumwandlungstabelle (412), wobei die fünfte Farbumwandlungstabelle
(412) zum Umwandeln des dreidimensionalen Farbraums in den Device-unabhängigen Farbraum
dient, in Werte des gleichmäßigen Farbraums.
9. Bildverarbeitungsverfahren nach Anspruch 7, wobei die dritte Farbumwandlungstabelle
(608) erfasst wird durch Umwandeln (S607) von Werten des Device-unabhängigen Farbraums
in einer sechsten Farbumwandlungstabelle zum Umwandeln des Device-unabhängigen Farbraums
in den dreidimensionalen Farbraum, in Werte des gleichmäßigen Farbraums.
10. Bildverarbeitungsverfahren nach Anspruch 8, wobei der Erzeugungsschritt ferner umfasst:
Erzeugen einer siebten Farbumwandlungstabelle (1215) zum Korrigieren des vierdimensionalen
Farbraums durch Verwenden von Farben des Device-unabhängigen Farbraums, wobei der
Erzeugungsschritt die siebte Farbumwandlungstabelle (1215) zum Korrigieren des vierdimensionalen
Farbraums durch Verwenden der kolorimetrischen Werte (1206) des Device-unabhängigen
Farbraums erzeugt, die fünfte Farbumwandlungstabelle (412) zum Umwandeln des dreidimensionalen
Farbraums in den Device-unabhängigen Farbraum erzeugt und eine achte Farbumwandlungstabelle
(409) zum Umwandeln des Device-unabhängigen Farbraums in den dreidimensionalen Farbraum
erzeugt; und
Erzeugen einer zusammengesetzten Farbumwandlungstabelle (1217) zum Korrigieren des
vierdimensionalen Farbraums durch Verwenden eines Wertes, der erfasst wird durch Kombinieren
eines ersten Korrekturkoeffizienten von der vierten Farbumwandlungstabelle (1212)
mit einem zweiten Korrekturkoeffizienten von der siebten Farbumwandlungstabelle (1215);
und wobei das Durchführen einer Mehrfarb-Korrekturverarbeitung basierend auf der vierten
Farbumwandlungstabelle das Verwenden der zusammengesetzten Farbumwandlungstabelle
umfasst.
11. Bildverarbeitungsverfahren nach Anspruch 10, wobei, wenn die zusammengesetzte Farbumwandlungstabelle
zum Korrigieren des vierdimensionalen Farbraums erzeugt wird durch Verwenden des Wertes,
der durch Kombinieren des ersten Korrekturkoeffizienten mit dem zweiten Korrekturkoeffizienten
erfasst wird, ein Verfahren zum Kombinieren des ersten Korrekturkoeffizienten mit
dem zweiten Korrekturkoeffizienten gemäß einer spezifizierten Gewichtung bestimmt
wird.
12. Programm, das bei Ausführung durch einen Computer diesen dazu veranlasst, das Verfahren
nach einem der Ansprüche 7 bis 11 auszuführen.
13. Computerlesbares Medium, das ein Programm nach Anspruch 12 speichert.
1. Appareil de traitement d'image comprenant :
une première table de conversion de couleur (602) apte à convertir un espace de couleur
indépendant du dispositif en un espace de couleur uniforme, l'espace de couleur uniforme
étant un espace de couleur dans lequel l'espace de couleur Lab est corrigé pour améliorer
le niveau de corrélation avec des caractéristiques visuelles humaines ;
un moyen de sortie configuré pour fournir en sortie (S803) un nuancier (804) à une
imprimante en utilisant une pluralité de types de données de nuancier multicolores
représentées dans un espace de couleur tridimensionnel formé de cyan, magenta, et
jaune ;
un moyen d'acquisition de valeurs colorimétriques configuré pour acquérir (S805) des
valeurs colorimétriques (806) qui résultent d'une colorimétrie effectuée sur le nuancier
de sortie (804) dans l'espace de couleur indépendant du dispositif ;
un moyen d'acquisition de table de conversion de couleur configuré pour acquérir une
deuxième table de conversion de couleur (606) apte à convertir l'espace de couleur
tridimensionnel en l'espace de couleur uniforme ;
un moyen de conversion configuré pour convertir les valeurs colorimétriques acquises
(806) de l'espace de couleur indépendant du dispositif en des valeurs colorimétriques
acquises (809) de l'espace de couleur uniforme en utilisant la première table de conversion
de couleur (602) qui est apte à convertir l'espace de couleur indépendant du dispositif
en l'espace de couleur uniforme (602) ;
un moyen d'acquisition de valeurs cibles configuré pour acquérir des valeurs cibles
prédéterminées (605) de l'espace de couleur uniforme ;
un moyen de correction configuré pour corriger (S810) une troisième table de conversion
de couleur stockée à l'avance (608), laquelle troisième table de conversion de couleur
est apte à convertir l'espace de couleur uniforme en l'espace de couleur tridimensionnel,
en utilisant des différences (811) entre les valeurs colorimétriques acquises (809)
de l'espace de couleur uniforme et les valeurs cibles acquises (605) de l'espace de
couleur uniforme ;
un moyen générateur configuré pour générer, en utilisant la deuxième table de conversion
de couleur (606) et la troisième table de conversion de couleur corrigée (608), une
quatrième table de conversion de couleur (812, 1013, 1212) apte à être utilisée dans
un traitement de correction multicolore (S212) en corrigeant un espace de couleur
quadridimensionnel formé de cyan, magenta, jaune, et noir ; et
un moyen de traitement de correction multicolore configuré pour l'exécution d'un traitement
de correction multicolore (S212) sur la base de la quatrième table de conversion de
couleur (812, 1013, 1212) destinée à convertir une combinaison de valeurs de signaux
cyan, magenta, jaune et noir correspondant à des valeurs de toner respectives d'une
image afin de fournir en sortie des valeurs de signaux cyan, magenta, jaune et noir.
2. Appareil de traitement d'image selon la revendication 1, dans lequel la deuxième table
de conversion de couleur (606) est acquise en convertissant (S604) des valeurs de
l'espace de couleur indépendant du dispositif dans une cinquième table de conversion
de couleur (412), laquelle cinquième table de conversion de couleur (412) est destinée
à convertir l'espace de couleur tridimensionnel en l'espace de couleur indépendant
du dispositif, en des valeurs de l'espace de couleur uniforme.
3. Appareil de traitement d'image selon la revendication 1, dans lequel la troisième
table de conversion de couleur (608) est acquise en convertissant (S607) des valeurs
de l'espace de couleur indépendant du dispositif dans une sixième table de conversion
de couleur destinée à convertir l'espace de couleur indépendant du dispositif en l'espace
de couleur tridimensionnel, en des valeurs de l'espace de couleur uniforme.
4. Appareil de traitement d'image selon la revendication 2, comprenant en outre :
un moyen d'instruction (901) configuré pour recevoir une instruction indiquant s'il
est nécessaire de générer la quatrième table de conversion de couleur (1013) destinée
à corriger l'espace de couleur quadridimensionnel généré par le moyen générateur en
utilisant des couleurs de l'espace de couleur uniforme ou de générer une septième
table de correction de couleur (1016) destinée à corriger l'espace de couleur quadridimensionnel
en utilisant des couleurs de l'espace de couleur indépendant du dispositif ;
dans lequel, lorsque le moyen d'instruction reçoit une instruction pour générer la
septième table de conversion de couleur (1016) destinée à corriger l'espace de couleur
quadridimensionnel en utilisant des couleurs de l'espace de couleur indépendant du
dispositif, le moyen générateur génère la septième table de conversion de couleur
(1016) destinée à corriger l'espace de couleur quadridimensionnel en utilisant les
valeurs colorimétriques de l'espace de couleur indépendant du dispositif (1006), la
cinquième table de conversion de couleur (412) destinée à convertir l'espace de couleur
tridimensionnel en l'espace de couleur indépendant du dispositif, et une huitième
table de conversion de couleur (409) destinée à convertir l'espace de couleur indépendant
du dispositif en l'espace de couleur tridimensionnel.
5. Appareil de traitement d'image selon la revendication 2, dans lequel le moyen générateur
est en outre configuré pour :
générer une septième table de conversion de couleur (1215) destinée à corriger l'espace
de couleur quadridimensionnel en utilisant des couleurs de l'espace de couleur indépendant
du dispositif, le moyen générateur générant la septième table de conversion de couleur
(1215) destinée à corriger l'espace de couleur quadridimensionnel en utilisant les
valeurs colorimétriques (1206) de l'espace de couleur indépendant du dispositif, la
cinquième table de conversion de couleur (412) destinée à convertir l'espace de couleur
tridimensionnel en l'espace de couleur indépendant du dispositif, et une huitième
table de conversion de couleur (1214) destinée à convertir l'espace de couleur indépendant
du dispositif en l'espace de couleur tridimensionnel ; et
générer une table de conversion de couleur composite (1217) destinée à corriger l'espace
de couleur quadridimensionnel en utilisant une valeur acquise en combinant un premier
coefficient de correction provenant de la quatrième table de conversion de couleur
(1212) avec un deuxième coefficient de correction provenant de la septième table de
conversion de couleur (1215) ; et dans lequel le moyen de traitement de correction
multicolore configuré pour effectuer le traitement de correction multicolore sur la
base de la quatrième table de conversion de couleur comprend le fait que le moyen
de traitement de correction multicolore est configuré pour utiliser la table de conversion
de couleur composite.
6. Appareil de traitement d'image selon la revendication 5, dans lequel, lorsque le moyen
générateur est configuré pour générer la table de conversion de couleur composite
destinée à corriger un espace de couleur quadridimensionnel en utilisant la valeur
acquise en combinant le premier coefficient de correction avec le deuxième coefficient
de correction, un procédé destiné à combiner le premier coefficient de correction
avec le deuxième coefficient de correction est déterminé conformément à un poids spécifié.
7. Procédé de traitement d'image qui utilise une première table de conversion de couleur
(602) configurée pour convertir un espace de couleur indépendant du dispositif en
un espace de couleur uniforme, l'espace de couleur uniforme étant un espace de couleur
dans lequel l'espace de couleur Lab est corrigé pour améliorer le niveau de corrélation
avec des caractéristiques visuelles humaines, le procédé comprenant les étapes consistant
en :
la fourniture en sortie (S803) d'un nuancier (804) à une imprimante en utilisant une
pluralité de types de données de nuancier de multicolores représentées dans a espace
de couleur tridimensionnel formé de cyan, magenta, et jaune ;
l'acquisition (S805) de valeurs colorimétriques (806) qui résultent d'une colorimétrie
effectuée sur le nuancier de sortie (804) dans l'espace de couleur indépendant du
dispositif ;
l'acquisition d'une deuxième table de conversion de couleur (606) destinée à convertir
l'espace de couleur tridimensionnel en l'espace de couleur uniforme ;
la conversion des valeurs colorimétriques acquises (806) de l'espace de couleur indépendant
du dispositif en des valeurs colorimétriques acquises (809) de l'espace de couleur
uniforme en utilisant la première table de conversion de couleur (602) qui est apte
à convertir l'espace de couleur indépendant du dispositif en l'espace de couleur uniforme
(602) ;
l'acquisition de valeurs cibles prédéterminées (605) de l'espace de couleur uniforme
;
la correction (S810) d'une troisième table de conversion stockée à l'avance (608),
laquelle troisième table de conversion de couleur est apte à convertir l'espace de
couleur uniforme en l'espace de couleur tridimensionnel, en utilisant des différences
(811) entre les valeurs colorimétriques acquises (809) de l'espace de couleur uniforme
et les valeurs cibles acquises (605) de l'espace de couleur uniforme ;
la génération, en utilisant la deuxième table de conversion de couleur (606) et la
troisième table de conversion de couleur corrigée (608), d'une quatrième table de
conversion de couleur (812, 1212) apte à être utilisée dans un traitement de correction
multicolore (S212) en corrigeant un espace de couleur quadridimensionnel formé de
cyan, magenta, jaune, et noir ; et
l'exécution d'un traitement de correction multicolore (S212) sur la base de la quatrième
table de conversion de couleur (812, 1212) pour convertir une combinaison de valeurs
de signaux cyan, magenta, jaune et noir correspondant à des valeurs de toner respectives
d'une image afin de fournir en sortie des valeurs de signaux cyan, magenta, jaune
et noir.
8. Procédé de traitement d'image selon la revendication 7, dans lequel la deuxième table
de conversion de couleur (606) est acquise en convertissant (S604) des valeurs de
l'espace de couleur indépendant du dispositif dans une cinquième table de conversion
de couleur (412), laquelle cinquième table de conversion de couleur (412) est destinée
à convertir l'espace de couleur tridimensionnel en l'espace de couleur indépendant
du dispositif, en des valeurs de l'espace de couleur uniforme.
9. Procédé de traitement d'image selon la revendication 7, dans lequel la troisième table
de conversion de couleur (608) est acquise en convertissant (S607) des valeurs de
l'espace de couleur indépendant du dispositif dans une sixième table de conversion
de couleur destinée à convertir l'espace de couleur indépendant du dispositif en l'espace
de couleur tridimensionnel, en des valeurs de l'espace de couleur uniforme.
10. Procédé de traitement d'image selon la revendication 8, dans lequel l'étape de génération
comprend en outre :
la génération d'une septième table de conversion de couleur (1215) destinée à corriger
l'espace de couleur quadridimensionnel en utilisant des couleurs de l'espace de couleur
indépendant du dispositif, l'étape de génération générant la septième table de conversion
de couleur (1215) destinée à corriger l'espace de couleur quadridimensionnel en utilisant
les valeurs colorimétriques (1206) de l'espace de couleur indépendant du dispositif,
la cinquième table de conversion de couleur (412) destinée à convertir l'espace de
couleur tridimensionnel en l'espace de couleur indépendant du dispositif, et une huitième
table de conversion de couleur (409) destinée à convertir l'espace de couleur indépendant
du dispositif en l'espace de couleur tridimensionnel ; et
la génération d'une table de conversion de couleur composite destinée à corriger l'espace
de couleur quadridimensionnel en utilisant une valeur acquise en combinant un premier
coefficient de correction (1217) provenant de la quatrième table de conversion de
couleur (1212) avec un deuxième coefficient de correction provenant de la septième
table de conversion de couleur (1215) ; et
dans lequel l'exécution d'un traitement de correction multicolore sur la base de la
quatrième table de conversion de couleur comprend l'utilisation de la table de conversion
de couleur composite.
11. Procédé de traitement d'image selon la revendication 10, dans lequel, lorsque la table
de conversion de couleur composite destinée à corriger l'espace de couleur quadridimensionnel
est générée en utilisant la valeur acquise en combinant le premier coefficient de
correction avec le deuxième coefficient de correction, un procédé destiné à combiner
le premier coefficient de correction avec le deuxième coefficient de correction est
déterminé conformément à un poids spécifié.
12. Programme qui, lorsqu'il est exécuté par un ordinateur, amène l'ordinateur à mettre
en œuvre le procédé selon les revendications 7 à 11.
13. Support lisible par ordinateur stockant un programme selon la revendication 12.